检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

57,155 篇 会议
8,941 篇 期刊文献
393 册 图书

馆藏范围

66,489 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

41,536 篇 工学
- 26,530 篇 计算机科学与技术...
- 22,046 篇 软件工程
- 11,510 篇 信息与通信工程
- 7,169 篇 电子科学与技术（可...
- 6,957 篇 电气工程
- 6,923 篇 控制科学与工程
- 3,747 篇 生物工程
- 3,146 篇 生物医学工程（可授...
- 3,053 篇 光学工程
- 2,734 篇 机械工程
- 2,642 篇 动力工程及工程热...
- 2,458 篇 仪器科学与技术
- 1,973 篇 化学工程与技术
- 1,433 篇 材料科学与工程（可...
- 1,415 篇 安全科学与工程
- 1,323 篇 交通运输工程
- 1,175 篇 建筑学
21,372 篇 理学
- 11,398 篇 数学
- 6,822 篇 物理学
- 4,085 篇 生物学
- 3,625 篇 统计学（可授理学、...
- 2,599 篇 系统科学
- 2,056 篇 化学
9,289 篇 管理学
- 5,629 篇 管理科学与工程(可...
- 4,104 篇 图书情报与档案管...
- 3,118 篇 工商管理
2,515 篇 医学
- 2,179 篇 临床医学
- 2,043 篇 基础医学(可授医学...
- 1,363 篇 药学(可授医学、理...
1,668 篇 法学
- 1,368 篇 社会学
1,121 篇 经济学
762 篇 教育学
737 篇 农学
277 篇 文学
178 篇 军事学
66 篇 艺术学
6 篇 哲学
3 篇 历史学

主题

1,624 篇 accuracy
1,443 篇 computational mo...
1,279 篇 feature extracti...
1,143 篇 training
903 篇 deep learning
869 篇 real-time system...
834 篇 machine learning
763 篇 predictive model...
718 篇 computer science
700 篇 optimization
657 篇 computer archite...
632 篇 support vector m...
611 篇 data models
576 篇 internet of thin...
567 篇 neural networks
552 篇 wireless sensor ...
515 篇 monitoring
514 篇 data mining
510 篇 convolutional ne...
454 篇 bandwidth

机构

166 篇 dept. of electri...
82 篇 north-west unive...
81 篇 institut univers...
79 篇 infn sezione di ...
76 篇 infn sezione di ...
76 篇 institute of inf...
76 篇 national centre ...
66 篇 università di ca...
61 篇 dept. of electr....
58 篇 dept. of electri...
56 篇 dept. of compute...
56 篇 dept. of informa...
52 篇 dept. of electri...
52 篇 school of automa...
49 篇 leiden universit...
44 篇 dept. of compute...
42 篇 infn lnf via enr...
42 篇 in2p3 lpc campus...
39 篇 dept. of compute...
37 篇 dept. of electri...

作者

85 篇 ferrara g.
85 篇 ardid m.
84 篇 calvo d.
82 篇 gal t.
81 篇 chen a.
81 篇 bozza c.
63 篇 kalekin o.
52 篇 kulikovskiy v.
45 篇 huang f.
41 篇 benoit d.m.
41 篇 eddymaoui a.
40 篇 gagliardini s.
40 篇 labalme m.
40 篇 díaz a.f.
37 篇 androulakis g.
34 篇 de palma m.
34 篇 khatun a.
32 篇 eirini eleni tsi...
27 篇 kougianos elias
27 篇 david reigosa

语言

63,095 篇 英文
2,332 篇 其他
749 篇 中文
247 篇 朝鲜文
68 篇 日文
9 篇 土耳其文
5 篇 德文
2 篇 俄文
2 篇 斯洛文尼亚文
1 篇 阿拉伯文
1 篇 西班牙文
1 篇 法文
1 篇 葡萄牙文

检索条件"机构=dept. of Computer Computer Systems Engineering"

共 66489 条记录，以下是4601-4610 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Internet of Things IoMT Data Aggregation Using Machine Learning 2

Internet of Things IoMT Data Aggregation Using Machine Learn...

引用

2nd IEEE International Conference on Device Intelligence, Computing and Communication Technologies, DICCT 2024

作者： Pulabaigari, Lakshmi Sagar Sivakumar, C. School of Computing Mohan Babu University Dept. of Computer Science and Engineering Andhra Pradesh Tirupati India School of Computing Mohan Babu University Dept. of Data Science Andhra Pradesh Tirupati India

ISBN: (纸本)9798350372847

The Internet of Things (IoT) has revolutionized the way data is handled and collected, allowing for large amounts of information to be revolutionized quickly and efficiently. This has paved the way for Machine Learning (ML) applications to be used on IoT datasets, such as 10MT data aggregation. This paper discusses the use of a ML approach for aggregation 10MT data in order to better understand trends and classify patterns in various sectors that would otherwise go undetected. It discusses the benefits and challenges of such a system, and how it could be used to improve the efficiency of industrial operations. It stresses the importance of data integrity in this process, as wrong or incomplete datasets can significantly reduce the accuracy and reliability of the results obtained. Furthermore, it discusses the need for suitable ML algorithms and models, such as clustering and random forest, to be applied to the collected data in order to produce robust and meaningful output. It observes the security and privacy challenges associated with such ML-based 10MT data aggregation systems, and the potential solutions available. © 2024 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Fraud Detection in Online Transactions Using Machine Learning 1

Fraud Detection in Online Transactions Using Machine Learnin...

引用

1st IEEE International Conference on Advances in Computing, Communication and Networking, ICAC2N 2024

作者： Rathore, Rachna Singh, Narayan Prajapat, Dilip Yadav, Arti Vashisht, Manisha Dharshini, P. Priya Jiwaji University Dept. of Mathematics Gwalior India Madhav University Dept. of Electronic Engineering Pindwara India J.S. University Dept. of Computer Science Shikohabad India Lingayas Vidyapeeth Dept. of CSE Faridabad India Meenakshi A.H. Edu. & Research Dept. of English Chennai India

ISBN: (纸本)9798350356816

In the evolving landscape of online transactions, fraud detection remains a critical challenge due to the increasing sophistication of fraudulent activities. This paper explores the application of machine learning techniques to enhance fraud detection in online transactions. Various algorithms, including decision trees, random forests, support vector machines, and neural networks, are investigated to identify and mitigate fraudulent behavior effectively. The study utilizes a large dataset of transaction records, employing feature engineering to extract relevant attributes and enhance model accuracy. Through comparative analysis, it is demonstrated that ensemble methods, particularly random forests and gradient boosting, outperform traditional techniques in detecting fraudulent patterns. Additionally, the implementation of real-time detection systems using these models shows promising results in minimizing false positives and reducing financial losses. The findings highlight the potential of machine learning to offer robust, scalable solutions for fraud detection, contributing to more secure online transaction environments. © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Synergia: Device-Edge Server Association for ISAC-assisted Mobile Edge Computing systems

Synergia: Device-Edge Server Association for ISAC-assisted M...

引用

IEEE Conference on Global Communications (GLOBECOM)

作者： Panagiotis Charatsaris Arianna Santamaria Penafiel Maria Diamanti Eirini Eleni Tsiropoulou Symeon Papavassiliou Institute of Communication and Computer Systems School of Electrical and Computer Engineering National Technical University of Athens Athens Greece Dept. of Electrical and Computer Engineering University of New Mexico Albuquerque NM USA

ISBN: (数字)9798350351255

ISBN: (纸本)9798350351262

The efficient operation of the unified Integrated Sensing and Communication (ISAC) – Mobile Edge Computing (MEC) systems is important for enhancing data sensing, communication, and computation processes in next-generation wireless systems. Despite prior research focusing on these systems, little attention has been given to optimizing the device-edge server associations. This paper addresses this gap by introducing the novel two-stage device-edge server association Synergia framework. Firstly, representative utility functions capture the characteristics of the devices and MEC servers by jointly considering their sensing, communication, and computation characteristics. Secondly, the Estimated Synergia framework leverages the Matching Theory to rapidly determine an initial device-server matching by disregarding the devices’ externalities, i.e., the matching decisions of other devices. Thirdly, the Accurate Synergia model refines and improves this matching by using the coalition formation games, while considering the devices’ externalities in optimizing the utilities of both the devices and the MEC servers. Extensive numerical evaluations demonstrate the Synergia’s operational efficiency and scalability, outperforming reinforcement learningbased approaches. Also, a real-world application involving car accident detection validates its applicability.

关键词： Wireless communication Multi-access edge computing Scalability Games Pricing Integrated sensing and communication Numerical models Servers Global communication Next generation networking

来源：评论

学校读者我要写书评

暂无评论

A New Compensation Topology For Inductive Power Transfer (IPT) systems 49

A New Compensation Topology For Inductive Power Transfer (IP...

引用

49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Huang, You-Chun Madawala, Udaya Baguley, Craig A. Hsieh, Yao-Ching National Sun Yat-sen University Dept. of Electrical Engineering Kaohsiung Taiwan University of Auckland Dept. of Electrical Computer and Software Engineering Auckland New Zealand Auckland University of Technology Dept. of Electrical and Electronic Engineering Auckland New Zealand

ISBN: (纸本)9798350331820

This paper presents a new IPT compensation topology that can be operated at two different frequencies to form either primary series and secondary parallel (S-P) or primary parallel and secondary parallel (P-P) compensation. Model are presented to demonstrate how this transformation between S-P and P-P compensations with dual frequency control. The simulated results of a 1 kW IPT system have verified that the proposed system can remain output power with phase-shift modulation (PSM) and allows for efficient power transfer despite large pad misalignments by operating at different compensation. © 2023 IEEE.

关键词： Energy transfer

来源：评论

学校读者我要写书评

暂无评论

Phishing and Intrusion Attacks: An Overview of Classification Mechanisms 3

Phishing and Intrusion Attacks: An Overview of Classificatio...

引用

3rd International Informatics and Software engineering Conference, IISEC 2022

作者： Tareen, Saima Bazai, Sibghat Ullah Ullah, Shafi Ullah, Rehmat Marjan, Shah Ghafoor, Muhmmad Imran Dept. of Computer Science Quetta Pakistan Telivision Corppration Dept. of Engineering Pakistan Lahore Pakistan

ISBN: (数字)9781665459952

ISBN: (纸本)9781665459952

The digital world is becoming increasingly interconnected and cyberattacks such as phishing are becoming more common. Fraudulent emails and bogus websites are used to obtain sensitive information from online users to obtain their personal information. Cyberattacks are becoming increasingly sophisticated, which makes detecting scam attacks more difficult. In order to detect phishing attacks accurately, a variety of approaches have been examined, including rules-based systems, lists-based systems, heuristic-based systems, and content-based systems, among others, with the most effective list-based systems and machine learning systems. Over the past couple of years, Deep Learning has proven to be one of the most effective algorithms for machine learning. Specifically, this paper explores and provides an overview of existing anti-phishing approaches, as well as how fraudulent URLs can be classified using machine learning and deep learning algorithms. © 2022 IEEE.

关键词： Cybersecurity

来源：评论

学校读者我要写书评

暂无评论

Knee Osteoarthritis detection and classification using a customized CenterNet with DenseNet201

Knee Osteoarthritis detection and classification using a cus...

引用

International Symposium on Advanced Computing and Communication (ISACC)

作者： N. Shirisha K. Shilpa CH. Meghana Mohammed Abdul Rahman Dept. of Computer Science and Engineering MLR Institute of Technology Hyderabad India Dept. of Computer Science and Engineering MLR Institute of Technology Nalgonda India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

Knee osteoarthritis (KOA) is a prevalent joint disorder diagnosed using imaging modalities like MRI, CT scans, and X-rays, with X-rays being the most cost-effective. Early detection is crucial for effective management. This study presents an automated deep learning approach to detect and classify KOA severity based on the Kellgren-Lawrence (KL) grading system using single posteroanterior standing knee X-ray images. Utilizing the Osteoarthritis Initiative dataset, we employed transfer learning to fine-tune DenseNet-201, enhancing model performance. Additionally, knowledge distillation was applied to reduce computational complexity while maintaining accuracy. Our model achieved over 95% accuracy on both testing and cross-validation datasets, outperforming existing methods. This approach offers a reliable tool for early KOA diagnosis and grading, potentially aiding clinical decision-making

关键词： Training Deep learning Accuracy Computational modeling Magnetic resonance imaging Computed tomography X-rays Feature extraction Osteoarthritis Testing

来源：评论

学校读者我要写书评

暂无评论

Applicability of Deep Learning Model Trainings on Embedded GPU Devices: An Empirical Study

Applicability of Deep Learning Model Trainings on Embedded G...

引用

12th Mediterranean Conference on Embedded Computing, MECO 2023

作者： Chou, Po-Hsuan Wang, Chao Mei, Chih-Shuo National Taiwan Normal University Dept. of Computer Science and Information Engineering Taipei City Taiwan

ISBN: (纸本)9798350322910

The wide applications of deep learning techniques have motivated the inclusion of both embedded GPU devices and workstation GPU cards into contemporary Industrial Internet-of-Things (IIoT) systems. Due to substantial differences between the two types of GPUs, deep-learning model training in its current practice is run on GPU cards, and embedded GPU devices are used for inferences or partial model training at best. To supply with empirical evidence and aid the decision of deep learning workload placement, this paper reports a set of experiments on the timeliness and energy efficiency of each GPU type, running both Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) model training. The results suggest that embedded GPUs did save the total energy cost despite the longer response time, but the amount of energy saving might not be significant in a practical sense. Further in this paper we report a case study for prognostics applications using LSTM. The results suggest that, by comparison, an embedded GPU may save about 90 percent of energy consumption at the cost of doubling the application response time. But neither the save in energy cost nor the increase in response time is significant enough to impact the application. These findings suggest that it may be feasible to place model training workload on either workstation GPU or embedded GPU. © 2023 IEEE.

关键词： Embedded systems

来源：评论

学校读者我要写书评

暂无评论

Optimal Mixing via Tensorization for Random Independent Sets on Arbitrary Trees 26

Optimal Mixing via Tensorization for Random Independent Sets...

引用

26th International Conference on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2023 and the 27th International Conference on Randomization and Computation, RANDOM 2023

作者： Efthymiou, Charilaos Hayes, Thomas P. Štefankovič, Daniel Vigoda, Eric Computer Science University of Warwick Coventry United Kingdom Dept. of Computer Science and Engineering University at Buffalo NY United States Department of Computer Science University of Rochester NY United States Department of Computer Science University of California Santa BarbaraCA United States

ISBN: (纸本)9783959772969

We study the mixing time of the single-site update Markov chain, known as the Glauber dynamics, for generating a random independent set of a tree. Our focus is obtaining optimal convergence results for arbitrary trees. We consider the more general problem of sampling from the Gibbs distribution in the hard-core model where independent sets are weighted by a parameter λ > 0;the special case λ = 1 corresponds to the uniform distribution over all independent sets. Previous work of Martinelli, Sinclair and Weitz (2004) obtained optimal mixing time bounds for the complete ∆-regular tree for all λ. However, Restrepo et al. (2014) showed that for sufficiently large λ there are bounded-degree trees where optimal mixing does not hold. Recent work of Eppstein and Frishberg (2022) proved a polynomial mixing time bound for the Glauber dynamics for arbitrary trees, and more generally for graphs of bounded tree-width. We establish an optimal bound on the relaxation time (i.e., inverse spectral gap) of O(n) for the Glauber dynamics for unweighted independent sets on arbitrary trees. Moreover, for λ ≤ .44 we prove an optimal mixing time bound of O(n log n). We stress that our results hold for arbitrary trees and there is no dependence on the maximum degree ∆. Interestingly, our results extend (far) beyond the uniqueness threshold which is on the order λ = O(1/∆). Our proof approach is inspired by recent work on spectral independence. In fact, we prove that spectral independence holds with a constant independent of the maximum degree for any tree, but this does not imply mixing for general trees as the optimal mixing results of Chen, Liu, and Vigoda (2021) only apply for bounded degree graphs. We instead utilize the combinatorial nature of independent sets to directly prove approximate tensorization of variance/entropy via a non-trivial inductive proof. © 2023 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. All rights reserved.

关键词： Mixing

来源：评论

学校读者我要写书评

暂无评论

A Unified Deep Learning Approach for Integrating Retinal Image Diagnosis and Surgical Tool Classification 1

A Unified Deep Learning Approach for Integrating Retinal Ima...

引用

1st IEEE International Conference on Cognitive Robotics and Intelligent systems, ICC - ROBINS 2024

作者： Jesica, J. Anitha, J. Sujitha Juliet, D. Belfin, R.V. Karunya Institute of Technology and Sciences Dept. of Data Science and Cyber Security Coimbatore India Karunya Institute of Technology and Sciences Dept. of Computer Science and Engineering Coimbatore India University of North Carolina Dept. of Neurology Chapel Hill United States

ISBN: (数字)9798350372748

ISBN: (纸本)9798350372748

Early and accurate diagnosis by using retinal image processing is critical for enabling optimized patient care. Existing techniques for the diagnosis in medical image processing often face limitations. This research study leverages the comparative analysis of advanced Convolutional Neural Networks (CNNs), including AlexNet, InceptionV3, Xception, and EfficientNetB3;out of which EfficientNetB3 gives the comparatively higher accuracy of 84%. This research work presents a novel deep learning-based approach for detecting diseases along with the integration of Lenscraft AI. Lenscraft AI helps to segment surgical masks and identify the surgical tools used in surgical recordings using YOLOv8. The developed tool and tracking method offers a higher precision value of 0.8863 and efficiency in identifying the surgical instruments and potentially improving surgical technique for the trainee surgeons and patient safety. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

A Bioinformatics Approach to Identify the Influences of Diabetes on the Progression of Cancers

A Bioinformatics Approach to Identify the Influences of Diab...

引用

2022 International Conference on Advancement in Electrical and Electronic engineering, ICAEEE 2022

作者： Podder, Nitun Kumar Akter, Fatama Puza, Arpa Kar Shill, Pintu Chandra Rana, Humayan Kabir Saha, Kalyan Kumar Datta, Ratri Hossain, Mohammad Alamgir Khulna University of Engineering & Technology Dept. of Computer Science and Engineering Khulna Bangladesh Z. H. Sikder University of Science and Technology Dept. of Computer Science and Engineering Shariatpur Bangladesh Pabna University of Science and Technology Dept. of Computer Science and Engineering Pabna Bangladesh Green University of Bangladesh Dept. of Computer Science and Engineering Dhaka Bangladesh Faridpur General Hospital Dept. of Surgery Faridpur Bangladesh Jagannath University Department of Statistics Dhaka Bangladesh

ISBN: (数字)9781665469449

ISBN: (纸本)9781665469449

Diabetes is a communal illness with a tremendous impact on health and people with diabetes are at suggestively advanced risk for making many types of genetic dysfunction, particularly cancers like liver, uterine, lung, and colon cancer. To precise individuals with diabetes have specifically high levels of insulin in their blood, which could make for extra fertile grounds for cancer progression. The insulin injections intended at treating diabetes may also be influencing the hazard of cancers. To discourse these issues, we studied the computable frameworks to address the associations of diabetes and cancer datasets to identify the relationship between them. Diabetes is associated with cancers by sharing 22, 24, 15, and 25 DEGs with liver cancer, lung cancer, uterine cancer, and colon cancer respectively. Commonly DEGs, diseasome networks, pathways, ontological analysis indicate the suggestive relationship between diabetes with cancers. We investigated the datasets of transcript analyses made using microarray studies of diabetics and comorbidities as cancers, including datasets from liver, uterine, lung, and colon cancer. We erected diseasome networks and identified significant pathways, ontologies, and PPI sub-networks. This analysis validates the associations between diabetes on cancer progression and would be helpful to develop therapeutic strategies and comorbidities prediction. © 2022 IEEE.

关键词： Ontology

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共500页 << < 457 458 459 460 461 462 463 464 465 466 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：